Future Papers

The bias mapping of the Yule-Walker estimator is a contraction
Philip A. Ernst and Paul Shaman
doi:10.5705/ss.202017.0466
SEMIPARAMETRIC REGRESSION MODEL FOR RECURRENT BACTERIAL INFECTIONS AFTER HEMATOPOIETIC STEM CELL TRANSPLANTATION
Chi Hyun Lee, Chiung-Yu Huang, Todd E. DeFor, Claudio G. Brunstein, Daniel J. Weisdorf and Xianghua Luo
doi:10.5705/ss.202017.0397
Estimating a discrete log-concave distribution in higher dimensions
Hanna Jankowski and Amanda Tian
doi:10.5705/ss.202017.0344
Statistical Inference for Structurally Changed Threshold Autoregressive Models
Zhaoxing Gao and Shiqing Ling
doi:10.5705/ss.202017.0341
SEMIPARAMETRIC TRANSFORMATION MODELS WITH MULTILEVEL RANDOM EFFECTS FOR CORRELATED DISEASE ONSET IN FAMILIES
Baosheng Liang, Yuanjia Wang and Donglin Zeng
doi:10.5705/ss.202017.0326
Generalised Linear Cepstral Models for the Spectrum of a Time Series
Tommaso Proietti and Alessandra Luati
doi:10.5705/ss.202017.0322
Empirical Likelihood Estimation Using Auxiliary Summary Information with Different Covariate Distributions
Peisong Han and Jerald F. Lawless
doi:10.5705/ss.202017.0308
Edgeworth correction for the largest eigenvalue in a spiked PCA model
Jeha Yang and Iain M. Johnstone
doi:10.5705/ss.202017.0296
Hybrid combinations of parametric and empirical likelihoods
Nils Lid Hjort, Ian W. McKeague and Ingrid Van Keilegom
doi:10.5705/ss.202017.0291
Sufficient Dimension Reduction under Dimension-reduction-based Imputation with Predictors Missing at Random
Xiaojie Yang and Qihua Wang
doi:10.5705/ss.202017.0288
Nonlinear function on function additive model with multiple predictor curves
Xin Qi and Ruiyan Luo
doi:10.5705/ss.202017.0249
An Adaptive-to-Model Test for Parametric Single-Index Errors-in-Variables Models
Hira L. Koul, Chuanlong Xie and Lixing Zhu
doi:10.5705/ss.202017.0248
A test for equality of two distributions via integrating characteristic functions
Yiming Liu, Zhi Liu and Wang Zhou
doi:10.5705/ss.202017.0236
Classification and regression trees and forests for incomplete data from sample surveys
Wei-Yin Loh, John Eltinge, Moon Jung Cho and Yuanzhi Li
doi:10.5705/ss.202017.0225
MM ALGORITHMS FOR VARIANCE COMPONENT ESTIMATION AND SELECTION IN LOGISTIC LINEAR MIXED MODEL
Liuyi Hu, Wenbin Lu, Jin Zhou and Hua Zhou
doi:10.5705/ss.202017.0220
HIGH-DIMENSIONAL TWO-SAMPLE COVARIANCE MATRIX TESTING VIA SUPER-DIAGONALS
Jing He and Song Xi Chen
doi:10.5705/ss.202017.0213
Nonlinear interaction detection through model-based sufficient dimension reduction
Guoliang Fan, Liping Zhu and Shujie Ma
doi:10.5705/ss.202017.0206
Large-Scale Simultaneous Testing of Cross-Covariance Matrices with Applications to PheWAS
Tianxi Cai, T. Tony Cai, Katherine Liao and Weidong Liu
doi:10.5705/ss.202017.0189
ROBUST SUBGROUP IDENTIFICATION
YINGYING ZHANG, HUIXIA JUDY WANG and ZHONGYI ZHU
doi:10.5705/ss.202017.0179
Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis
Xiang Zhang, Lexin Li, Hua Zhou, Yeqing Zhou, Dinggang Shen, and ADNI
doi:10.5705/ss.202017.0153
Criteria for Multiple Surrogates
Peng Luo, Zheng Cai and Zhi Geng
doi:10.5705/ss.202017.0122
Edgeworth expansions for a class of spectral density estimators and their applications to interval estimation
Arindam Chatterjee and Soumendra Lahiri
doi:10.5705/ss.202017.0121
ORTHOGONAL SERIES ESTIMATION OF THE PAIR CORRELATION FUNCTION OF A SPATIAL POINT PROCESS
Abdollah Jalilian, Yongtao Guan and Rasmus Waagepetersen
doi:10.5705/ss.202017.0112
Strong laws for randomly weighted sums of random variables and applications in the bootstrap and random design regression
Pingyan Chen, Tao Zhang and Soo Hak Sung
doi:10.5705/ss.202017.0106
A Popularity Scaled Latent Space Model for Large-Scale Directed Social Network
Xiangyu Chang, Danyang Huang and Hansheng Wang
doi:10.5705/ss.202017.0103
Estimation of Errors-in-Variables Partially Linear Additive Models
Byeong Park, Eun Ryung Lee and Kyunghee Han
doi:10.5705/ss.202017.0101
Adaptive functional linear regression via functional principal component analysis and block thresholding
T. Tony Cai, Linjun Zhang and Harrison H. Zhou
doi:10.5705/ss.202017.0099
Peter Hall on Extremes: Research, teaching and supervision
Alan Welsh
doi:10.5705/ss.202017.0095
Clustering in General Measurement Error Models
Raymond Carroll, Ya Su and Jill Reedy
doi:10.5705/ss.202017.0093
Pseudo value method for ultra high-dimensional semiparametric models with life-time data
Tony Sit, Yue Xing, Yongze Xu and Minggao Gu
doi:10.5705/ss.202017.0089
Closed-population capture--recapture models with measurement error and missing observations in covariates
Jakub Stoklosa, Shen-Ming Lee and Wen-Han Hwang
doi:10.5705/ss.202017.0088
Semiparametric Estimation and Inference of Variance Function with Large Dimensional Covariates
Yanyuan Ma and Liping Zhu
doi:10.5705/ss.202017.0084
Graph Estimation for Matrix-variate Gaussian Data
Xi Chen and Weidong Liu
doi:10.5705/ss.202017.0076
Construction of orthogonal symmetric Latin hypercube designs
Min-Qian Liu, Lin Wang, Fasheng Sun and Dennis Lin
doi:10.5705/ss.202017.0075
The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors
Minwoo Chae, Yongdai Kim and Bas J. K. Kleijn
doi:10.5705/ss.202017.0074
Control of Directional Errors in Fixed Sequence Multiple Testing
Anjana Grandhi, Wenge Guo and Joseph P. Romano
doi:10.5705/ss.202017.0072
Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices
Danning Li, Lingzhou Xue and Hui Zou
doi:10.5705/ss.202017.0060
Peter Hall's Contribution to Empirical Likelihood
Jinyuan Chang, Jianjun Guo and Cheng Yong Tang
doi:10.5705/ss.202017.0059
Bias Reduction for Nonparametric and Semiparametric Regression Models
Ming-Yen Cheng, Tao Huang, Peng Liu and Heng Peng
doi:10.5705/ss.202017.0058
EMPIRICAL FOURIER METHODS FOR INTERVAL CENSORED DATA
Peter G. Hall, John Braun and Thierry Duchesne
doi:10.5705/ss.202017.0057
Data Sharpening Guided by Global Constraint in Local Regression
W. John Braun, X. Joan Hu and Xiuli Kang
doi:10.5705/ss.202017.0056
RFMS Method for Credit Scoring Based on Bank Card Transaction Data
Danyang Huang, Jing Zhou and Hansheng Wang
doi:10.5705/ss.202017.0043
Empirical Likelihood Ratio Tests for Coefficients in High Dimensional Heteroscedastic Linear Models
Honglang Wang, Ping-Shou Zhong and Yuehua Cui
doi:10.5705/ss.202017.0041
Peter Gavin Hall -- A Brief Remembrance of the Man and his Work
Francisco Samaniego
doi:10.5705/ss.202017.0038
OPTIMAL MODEL AVERAGING OF VARYING COEFFICIENT MODELS
CONG LI, QI LI, JEFFREY S. RACINE and DAIQIANG ZHANG
doi:10.5705/ss.202017.0034
Likelihood ratio Haar variance stabilization and normalization for Poisson and other non-Gaussian noise removal
Piotr Fryzlewicz
doi:10.5705/ss.202017.0029
Partial Consistency with Sparse Incidental Parameters
Jianqing Fan, Runlong Tang and Xiaofeng Shi
doi:10.5705/ss.202017.0027
Matrix Graph Hypothesis Testing and Application in Brain Connectivity Alternation Detection
Yin Xia and Lexin Li
doi:10.5705/ss.202017.0023
Peter Hall: My Mentor, Collaborator and Friend
Peihua Qiu
doi:10.5705/ss.202017.0022
Optimal Designs for Nonlinear Models with Random Block Effects
Xin Wang, Min Yang and Wei Zheng
doi:10.5705/ss.202017.0020
BAYESIAN INFERENCE FOR NONRESPONSE TWO-PHASE SAMPLING
Yue Zhang, Henian Chen and Nanhua Zhang
doi:10.5705/ss.202017.0016
A Bootstrap Method for Constructing Pointwise and Uniform Confidence Bands for Conditional Quantile Functions
Joel L. Horowitz and Anand Krishnamurthy
doi:10.5705/ss.202017.0013
A general class of quasi-independence tests for left-truncated right-censored data
Young-Geun Choi, Wei-Yann Tsai and Myunghee Cho Paik
doi:10.5705/ss.202017.0010
Smoothed Full-Scale Approximation of Gaussian Process Models for Computation of Large Spatial Datasets
Bohai Zhang, Huiyan Sang and Jianhua Z. Huang
doi:10.5705/ss.202017.0008
Model Selection confidence sets by likelihood ratio testing
Chao Zheng, Davide Ferrari and Yuhong Yang
doi:10.5705/ss.202017.0006
Asymptotics for Redescending M-estimators in Linear Models with Increasing Dimension
Ezequiel Smucler
doi:10.5705/ss.202016.0549
Calibrated Percentile Double Bootstrap For Robust Linear Regression Inference
Kai Zhang, Daniel McCarthy, Lawrence Brown, Richard Berk, Andreas Bujas, Edward George and Linda Zhao
doi:10.5705/ss.202016.0546
On estimation of the optimal treatment regime with the additive hazards model
Wenbin Lu, Suhyun Kang and Jiajia Zhang
doi:10.5705/ss.202016.0543
Kernel-Based Adaptive Randomization Toward Balance in Continuous and Discrete Covariates
Yanyuan Ma, Fei Jiang and Guosheng Yin
doi:10.5705/ss.202016.0538
An Outlyingness Matrix for Multivariate Functional Data Classification
Wenlin Dai and Marc G. Genton
doi:10.5705/ss.202016.0537
Methodology and Convergence Rates for Functional Time Series Regression
Tung Pham and Victor Panaretos
doi:10.5705/ss.202016.0536
A NONPARAMETRIC REGRESSION MODEL FOR PANEL COUNT DATA ANALYSIS
Huadong Zhao, Ying Zhang, Xingqiu Zhao and Zhangsheng Yu
doi:10.5705/ss.202016.0534
Optimal design when outcome values are not missing at random
Kim May Lee, Robin Mitra and Stefanie Biedermann
doi:10.5705/ss.202016.0526
ON PROFILE MM ALGORITHMS FOR GAMMA FRAILTY SURVIVAL MODELS
Xifen Huang, Jinfeng Xu and Guoliang Tian
doi:10.5705/ss.202016.0516
On p-values
Laurie Davies
doi:10.5705/ss.202016.0507
TESTS FOR TAR MODELS VS. STAR MODELS–A SEPARATE FAMILY OF HYPOTHESES APPROACH
Zhaoxing Gao, Shiqing Ling and Howell Tong
doi:10.5705/ss.202016.0497
Change Point Analysis of Correlation in Non-stationary Time Series
Holger Dette, Weichi Wu and Zhou Zhou
doi:10.5705/ss.202016.0493
AN ASSEMBLY AND DECOMPOSITION APPROACH FOR CONSTRUCTING SEPARABLE MINORIZING FUNCTIONS IN A CLASS OF MM ALGORITHMS
Guo-Liang Tian, Xi-Fen Huang and Jinfeng Xu
doi:10.5705/ss.202016.0488
Supervised learning via the “hubNet” procedure
Leying Guan, Zhou Fan and Robert Tibshirani
doi:10.5705/ss.202016.0482
Two-sample Functional Linear Models
Wenchao Xu, Riquan Zhang and Hua Liang
doi:10.5705/ss.202016.0459
Inference for Low-Dimensional Covariates in a High-Dimensional Accelerated Failure Time Model
Hao Chai, Qingzhao Zhang, Jian Huang and Shuangge Ma
doi:10.5705/ss.202016.0449
A low-rank based estimation-testing procedure for matrix-covariate regression
Hung Hung and Zhi-Yu Jou
doi:10.5705/ss.202016.0445
Asymptotic Distribution for Regression in A Symmetric Periodic Gaussian Kernel Hilbert Space
Xianli Zeng and Yingcun Xia
doi:10.5705/ss.202016.0440
Discrete Longitudinal Data Modeling with a Mean-Correlation Regression Approach
Cheng Yong Tang, Weiping Zhang and Chenlei Leng
doi:10.5705/ss.202016.0435
Derivative Principal Components for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai, Hans-Georg Müller and Wenwen Tao
doi:10.5705/ss.202016.0427
Multiple Quantile Modelling via Reduced Rank Regression
Heng Lian, Weihua Zhao and Yanyuan Ma
doi:10.5705/ss.202016.0426
Construction of Maximin Distance Designs via Level Permutation and Expansion
Qian Xiao and Hongquan Xu
doi:10.5705/ss.202016.0423
Semi-parametric prediction intervals in small areas when auxiliary data are measured with error.
Gauri Datta, Aurore Delaigle, Peter Gavin Hall and Lily Wang
doi:10.5705/ss.202016.0416
Constrained Estimation of Causal Invertible VARMA
Anindya Roy, Tucker S. McElroy and Peter Linton
doi:10.5705/ss.202016.0415
Conditional quantile correlation learning for ultrahigh dimensional varying coefficient models and its application in survival analysis
Xiaochao Xia, Jialiang Li and Bo Fu
doi:10.5705/ss.202016.0402
Asymptotic Behavior of Cox's Partial Likelihood and its Application to Variable Selection
Runze Li, Jian-Jian Ren, Guangren Yang and Ye Yu
doi:10.5705/ss.202016.0401
Composite Estimation: An Asymptotically Weighted Least Squares Approach
Lu Lin, Feng Li, Kangning Wang and Lixing Zhu
doi:10.5705/ss.202016.0399
Network Inference From Grouped Observations Using Hub Models
Yunpeng Zhao and Charles Weko
doi:10.5705/ss.202016.0397
Fully Efficient Joint Fractional Imputation for Incomplete Bivariate Ordinal Responses
Xichen She and Changbao Wu
doi:10.5705/ss.202016.0396
Wavelet methods for erratic regression means in the presence of measurement error
Spiridon Penev and Peter Hall
doi:10.5705/ss.202016.0393
Rank-based estimating equation with non-ignorable missing responses via empirical likelihood
Huybrechts F. Bindele and Yichuan Zhao
doi:10.5705/ss.202016.0388
Nonlinear Regression Estimation Using Subset-Based Kernel Principal Components
Yuan Ke, Degui Li and Qiwei Yao
doi:10.5705/ss.202016.0369
High dimensional semiparametric estimate of latent covariance matrix for matrix-variate
Lu Niu and Junlong Zhao
doi:10.5705/ss.202016.0364
Sparse Estimation of Generalized Linear Models (GLM) via Approximated Information Criteria
Xiaogang Su, Juanjuan Fan, Richard Levine, Martha Nunn and Chih-Ling Tsai
doi:10.5705/ss.202016.0353
Functional Linear Regression Model for Nonignorable Missing Scalar Responses
Hongtu Zhu, Tengfei Li, Fengchang Xie, Xiangnan Feng and J. G. Ibrahim
doi:10.5705/ss.202016.0350
Lack of Fit Test for Infinite Variation Jumps at High Frequencies
Kong Xinbing
doi:10.5705/ss.202016.0349
ON ESTIMATION OF PARTIALLY LINEAR VARYING-COEFFICIENT TRANSFORMATION MODELS WITH CENSORED DATA
Bo Li, Baosheng Liang, Xingwei Tong and Jianguo Sun
doi:10.5705/ss.202016.0345
Generalized method of moments for nonignorable missing data
Li Zhang, Cunjie Lin and Yong Zhou
doi:10.5705/ss.202016.0340
Maximum Penalized Likelihood Estimation For The Endpoint And Exponent Of A Distribution
Fang Wang, Liang Peng, Yongcheng Qi and Meiping Xu
doi:10.5705/ss.202016.0336
Sequential Monitoring of Covariate-Adaptive Randomized Clinical Trials
Feifang Hu and Hongjian Hu
doi:10.5705/ss.202016.0330
Sequential identification of nonignorable missing data mechanisms
Mauricio Sadinle and Jerry Reiter
doi:10.5705/ss.202016.0328
Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and Inference
Eric J. Tchetgen Tchetgen, Linbo Wang and BaoLuo Sun
doi:10.5705/ss.202016.0325
Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
Eric Tchetgen Tchetgen, Baoluo Sun, Lan Liu, Wang Miao, Kathleen Wirth and Robin James
doi:10.5705/ss.202016.0324
Identification and Inference With Nonignorable Missing Covariate Data
Wang Miao and Eric Tchetgen Tchetgen
doi:10.5705/ss.202016.0322
Propensity Score Matching Analysis for Causal Effects with MNAR Covariates
Bo Lu and Robert Ashmead
doi:10.5705/ss.202016.0320
Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials
Joseph Ibrahim, Jing Wu, Ming-Hui Chen, Elizabeth Schifano and Jeffrey Fisher
doi:10.5705/ss.202016.0319
A ROBUST CALIBRATION-ASSISTED METHOD FOR LINEAR MIXED EFFECTS MODEL UNDER CLUSTER-SPECIFIC NONIGNORABLE MISSINGNESS
Myunghee Paik, Yongchan Kwon, Jae Kwang Kim and Hongsoo Kim
doi:10.5705/ss.202016.0317
Estimation of Area Under the ROC Curve under nonignorable veri cation bias
Wenbao Yu, Jae Kwang Kim and Taesung Park
doi:10.5705/ss.202016.0315
Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data
Jiwei Zhao, Yang Yang and Yang Ning
doi:10.5705/ss.202016.0312
A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials
Ian White, James Carpenter and Nicholas Horton
doi:10.5705/ss.202016.0308
Generalization of Heckman selection model to nonignorable nonresponse using call-back information
Baojiang Chen, Pengfei Li and Jing Qin
doi:10.5705/ss.202016.0300
Strategic Binary Choice Models with Partial Observability
Mark David Nieman
doi:10.5705/ss.202016.0294
EMPIRICAL LIKELIHOOD METHODS FOR COMPLEX SURVEYS WITH DATA MISSING-BY-DESIGN
Min Chen, Mary E. Thompson and Changbao Wu
doi:10.5705/ss.202016.0291
AN IMPROVED MEASURE FOR LACK OF FIT IN TIME SERIES MODELS
Thomas Fisher and Michael Robbins
doi:10.5705/ss.202016.0286
Aggregated Expectile Regression by Exponential Weighting
Yuwen Gu and Hui Zou
doi:10.5705/ss.202016.0285
Model-Free Feature Screening for Ultrahigh Dimensional Data through a Modified Blum-Kiefer-Rosenblatt Correlation
Liping ZHU and Yeqing Zhou
doi:10.5705/ss.202016.0264
Variable Selection for Gaussian Process Models using Experimental Design-Based Subagging
Ying Hung and Yibo Zhao
doi:10.5705/ss.202016.0250
Semiparametric random-effects conditional density models for longitudinal analysis with concomitant intervention
Colin Wu, Tianqing Liu, Zhaohai Li and Yuanzhang Li
doi:10.5705/ss.202016.0246
Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure
Alan Wan, Zhiping Qiu, Yong Zhou and Peter Gilbert
doi:10.5705/ss.202016.0231
Hyper Markov Laws for Correlation Matrices
Jeremy Gaskins
doi:10.5705/ss.202016.0224
Gradient-induced Model-free Variable Selection with Composite Quantile Regression
Shaogao Lv, Xin He and Junhui Wang
doi:10.5705/ss.202016.0222
Simultaneous Confidence Bands in Nonlinear Regression Models with Nonstationarity
Degui Li, Weidong Liu, Qiying Wang and Weibiao Wu
doi:10.5705/ss.202016.0219
Baseline zone estimation in two dimensions with replicated measurements under a convexity constraint
Moulinath Banerjee, Atul Mallik and Michael Woodroofe
doi:10.5705/ss.202016.0211
A Further Study of Propensity Score Calibration in Missing Data Analysis
Peisong Han
doi:10.5705/ss.202016.0185
COPULA-BASED QUANTILE REGRESSION FOR LONGITUDINAL DATA
HUIXIA JUDY WANG, XINGDONG FENG AND CHEN DONG
doi:10.5705/ss.202016.0135
Sensitivity Analysis for Unmeasured Confounding in Coarse Structural Nested Mean Models
Shu Yang and Judith J. Lok
doi:10.5705/ss.202016.0133
Bayesian Small Area Models for Three-way Contingency Tables with Nonignorability
Dalho Kim, Namgyo Woo and Balgobin Nandram
doi:10.5705/ss.202016.0121
Multiclass Sparse Discriminant Analysis
Hui Zou, Qing Mai and Yi Yang
doi:10.5705/ss.202016.0117
Imprinting and Maternal Effect Detection Using Partial Likelihood Based on Discordant Sibpair Data
Fangyuan Zhang and Shili Lin
doi:10.5705/ss.202016.0114
Dynamic Network Analysis with Missing Data: Theory and Methods
Zack Almquist and Carter Butts
doi:10.5705/ss.202016.0108
An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution
Alexandra Carpentier and Arlene Kim
doi:10.5705/ss.202016.0103
Adjustments for a class of tests under nonstandard conditions
Anna Clara Monti and Masanobu Taniguchi
doi:10.5705/ss.202016.0093
Optimal Paired Choice Block Designs
Rakhi Singh, Ashish Das and Feng-Shun Chai
doi:10.5705/ss.202016.0084
The Impact of Missing Values on Diff erent Measures of Uncertainty
Chantal Larose, Dipak K. Dey and Ofer Harel
doi:10.5705/ss.202016.0073
Nearly Unstable Processes: A Prediction Perspective
Ching-Kang Ing, Ngai Hang Chan and Rongmao Zhang
doi:10.5705/ss.202016.0069
Invariance properties and statistical inference for circular data
Gianluca Mastrantonio, Giovanna Jona Lasinio, Antonello Maruotti and Gianfranco Calise
doi:10.5705/ss.202016.0067
On the second-order inverse regression methods for a general type of elliptical predictors
Wei Luo
doi:10.5705/ss.202016.0056
Bayesian Generalized Two-way ANOVA Modeling for Functional Data Using INLA
Yu (Ryan) Yue, David Bolin, Havard Rue and Xiao-Feng Wang
doi:10.5705/ss.202016.0055
Fast envelope algorithms
Xin Zhang and Dennis Cookg
doi:10.5705/ss.202016.0037
Quadratic Discriminant Analysis for High-Dimensional Data
Yilei Wu, Yingli Qin and Mu Zhu
doi:10.5705/ss.202016.0034
Clusters With Unequal Size: Maximum Likelihood Versus Weighted Estimation in Large Samples
Geert Molenberghs, Lisa Hermans, Vahid Nassiri, Michael Kenward, Wim Van der Elst, Marc Aerts and Geert Verbeke
doi:10.5705/ss.202016.0019
Le Cam maximin tests for symmetry of circular data based on the characteristic function
Simos Meintanis and Thomas Verdebout
doi:10.5705/ss.202016.0016
Assessment of nonignorable nonresponse log-linear models for an incomplete contingency table
Daeyoung Kim and Seongyong Kim
doi:10.5705/ss.202015.0472
Likelihood adjusted for nonignorable missing covariate values with unspecified propensity in generalized linear models
Fang Fang, Jiwei Zhao and Jun Shao
doi:10.5705/ss.202015.0437
Subsampling for General Statistics under Long Range Dependence
Martin Wendler and Annika Betken
doi:10.5705/ss.202015.0435
Convex Surrogate Minimization in Classification
Cui Xiong, Jun Shao and Lei Wang
doi:10.5705/ss.202015.0415
Regularization after retention in ultrahigh dimensional linear regression models
Haolei Weng, Yang Feng and Xingye Qiao
doi:10.5705/ss.202015.0413
Comparison of Extended Empirical Likelihood Methods: Size and Shape of Test Based Confidence Regions
Mi-Ok Kim and Mai Zhou
doi:10.5705/ss.202015.0410
Calibration and Multiple Robustness When Data Are Missing Not At Random
Peisong Han
doi:10.5705/ss.202015.0408
The restricted consistency property of leave-n_v-out cross-validation for high-dimensional variable selection
Yang Feng and Yi Yu
doi:10.5705/ss.202015.0394
Optimal Model Averaging Estimation for Partially Linear Models
Xinyu Zhang and Wendun Wang
doi:10.5705/ss.202015.0392
Statistical Theories for Dimensional Analysis
Weijie Shen and Dennis K. J. Lin
doi:10.5705/ss.202015.0377
Additive mean residual life model with latent variables under right censoring
Xinyuan Song, Haijin He, Deng Pan and Liuquan Sun
doi:10.5705/ss.202015.0369
On the Efficiency of Online Approach to Nonparametric Smoothing of Big Data
Efang Kong and Yingcun Xia
doi:10.5705/ss.202015.0365
Nonparametric model checks of single-index assumptions
Samuel Maistre and Valentin Patilea
doi:10.5705/ss.202015.0337
Variable Selection in Sparse Regression with Quadratic Measurements
Jun Fan, Lingchen Kong, Liqun Wang and Naihua Xiu
doi:10.5705/ss.202015.0335
Robust Bounded Influence Tests for Independent Non-Homogeneous Observations
Abhik Ghosh and Ayanendranath Basu
doi:10.5705/ss.202015.0320
Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams
Yajun Mei, Kun Liu and Ruizhi Zhang
doi:10.5705/ss.202015.0316
Limit behaviour of the truncated pathwise Fourier-transformation of Levy-driven CARMA processes for non-equidistant discrete time observations
Robert Stelzer and Zywilla Fechner
doi:10.5705/ss.202015.0314
Sparse $k$-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional Data Clustering
Rongjian Li, Xiangyu Chang, Yu Wang and Zongben Xu
doi:10.5705/ss.202015.0261
Optimal design for experiments with possibly incomplete observations
Kim May Lee, Stefanie Biedermann and Robin Mitra
doi:10.5705/ss.202015.0225
Convex Mixtures Imputation and Applications
Jianhui Ning, Michelle Liou and Philip E. Cheng
doi:10.5705/ss.202015.0204
On Feature Ensemble Optimizing the Sensitivity and Partial ROC Curve
Zheng Zhang, Ying Lu and Lu Tian
doi:10.5705/ss.202014.0057